Leveraging LLMs and wearables to provide personalized recommendations for enhancing student well-being and academic performance through a proof of concept
Abstract Traditional one-size-fits-all recommendations for student well-being and academic success may not be optimal. Personalized recommendations based on individual data hold promise. This study explores the potential of Large Language Models (LLMs) to generate personalized recommendations for 12...
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Main Authors: | Arfan Ahmed, Sarah Aziz, Alaa Abd-alrazaq, Rawan AlSaad, Javaid Sheikh |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-89386-2 |
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